---
library_name: transformers
language:
- es
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- ylacombe/google-chilean-spanish
metrics:
- wer
model-index:
- name: Whisper Small ES-CL - Roberto Castro-Vexler
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: OpenSLR Chilean Spanish
      type: ylacombe/google-chilean-spanish
      args: 'config: es-cl, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 5.930960948953752
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Whisper Small ES-CL - Roberto Castro-Vexler

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the OpenSLR Chilean Spanish dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1552
- Wer: 5.9310

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.0038        | 8.6207  | 1000 | 0.1381          | 6.1975 |
| 0.0002        | 17.2414 | 2000 | 0.1466          | 5.8510 |
| 0.0001        | 25.8621 | 3000 | 0.1528          | 5.9709 |
| 0.0001        | 34.4828 | 4000 | 0.1552          | 5.9310 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1